Self-adaptive shutter intelligent adjusting method and system based on illumination intensity

Abstract

In many outdoor sunshade environments, a user usually uses a sunshade to shade the sun. However, the intensity of natural light can be continuously changed along with the change of morning, noon and evening and factors such as cloud shielding, so that a user needs to manually adjust to control the sunshade degree. However, many problems exist in manual control and adjustment of the sunshade degree. Firstly, quantitative adjustment of sunshade is difficult to achieve through manual control, a user needs to conduct correction continuously, time and labor are wasted, and the hysteresis quality is high. And secondly, even if the user can manually adjust the sunshade, the sunshade effect is difficult to keep relatively stable, and the environment and the comfort degree can be influenced. Therefore, an intelligent light adjusting system is needed to monitor the sun-shading intensity in real time and automatically adjust the sun-shading intensity to keep the sun-shading intensity relatively stable. Based on the background technology, the invention provides a self-adaptive shutter intelligent adjusting method and system based on illumination intensity. According to the method and the system, the current light brightness data is collected and calculated, so that the inclination angle of the shutter is automatically adjusted, and the relative stability of the sunshade intensity is kept.

Description

Technical Field

[0001] The invention belongs to the field of sunshade technology, and specifically relates to a method and system for intelligently adjusting self-adaptive blinds based on light intensity. Background Art

[0002] In many outdoor shading environments, users usually use awnings for shading. However, the intensity of natural light will change with the time of day, night, and cloud cover, which requires users to manually adjust the degree of shading. However, there are many problems with manual control of the degree of shading. First, it is difficult to achieve quantitative adjustment of shading through manual control, and users need to make corrections constantly, which is time-consuming, laborious, and has a strong lag. Second, even if users can adjust manually, it is difficult to maintain the relative stability of the shading effect, which will affect the environment and comfort. Therefore, an intelligent light adjustment system is needed to monitor the shading intensity in real time and automatically adjust it to keep it relatively stable. Summary of the invention

[0003] In order to solve the above problems, the present invention provides an adaptive blinds intelligent adjustment method and system based on light intensity, which can automatically adjust the opening and closing angles of the blinds according to the real-time light intensity to maintain the indoor lighting within the optimal range while reducing energy consumption.

[0004] To achieve the above object, the technical solution adopted by the present invention is: A method and system for intelligently adjusting self-adaptive blinds based on light intensity, characterized by comprising the following steps: Use multiple photoelectric sensors to obtain the light intensity of the current environment.

[0005] The sun's position information is predicted by combining the light intensity obtained by multiple photoelectric sensors through the sun position prediction algorithm.

[0006] The current location information is obtained by using WIFI-assisted positioning technology, and the sun position information is further calculated based on this information.

[0007] The control center calibrates the tilt angle of the target shutter array based on the acquired sun position information.

[0008] Use the accelerometer to obtain the actual tilt angle of the current shutter array.

[0009] Determine whether the system is in automatic mode. If the system is in automatic mode, proceed to the next step; otherwise, end the adjustment process.

[0010] Determine whether the system is in a fault mode. If the system is in a fault mode, end the adjustment process; otherwise, proceed to the next step.

[0011] Determine whether the absolute value of the difference between the target angle and the current angle is greater than the set threshold. If it is greater than the threshold, the system meets the conditions for adjusting the blinds; otherwise, the adjustment process ends.

[0012] If the system meets the adjustment conditions, the motor will rotate to drive the blinds to adjust the angle to optimize the indoor lighting environment.

[0013] Furthermore, in this method, a multi-channel photoelectric sensor is used to obtain the light intensity of the current environment, specifically including: Multiple photoelectric sensors are arranged inside the building or near the blinds. These sensors detect the light intensity in different directions and areas, and the data obtained fully reflects the ambient light conditions.

[0014] Each photoelectric sensor has the ability to convert light signals into electrical signals. When the ambient light intensity changes, the sensor can capture these changes in real time and convert the light signals into corresponding electrical signals for output.

[0015] The electrical signals output by the photoelectric sensor will pass through the signal processing unit (analog-to-digital converter ADC) to convert the analog signals into digital signals. These digital signals will then be transmitted to the control center for further processing and analysis.

[0016] With multiple sensors, a common clock signal is set between the sensors or a timestamp is used to synchronize the data collected by all sensors.

[0017] The data is filtered, averaged, and weighted to reduce the impact of noise and outliers and improve the accuracy and robustness of light intensity measurements. The control center will fuse the data from different sensors.

[0018] During the data collection process, if a sensor failure or data anomaly is detected, the system will initiate an exception handling mechanism, automatically switch to a backup sensor, issue an alarm, or mark and exclude abnormal data.

[0019] Furthermore, in this method, the light intensity obtained by the multi-channel photoelectric sensors is combined to predict the position information of the sun through the sun position prediction algorithm, which specifically includes: Multiple photoelectric sensors arranged at different locations collect light intensity data of the current environment.

[0020] Multi-sensor Fusion (MSF) technology is used to integrate and process data from different sensors. This process is similar to the process of comprehensive information processing by the human brain. Through multi-level and multi-space information complementation and optimal combination processing, a consistent interpretation of the observed environment is generated. The fused data is subjected to feature extraction and converted into a feature vector representing the observed data, so as to convert the feature vector into a decision of the target attribute.

[0021] The extracted feature vector is used in combination with the sun position prediction algorithm to predict the sun's position information.

[0022] The system continuously adjusts the prediction model based on real-time data to improve the accuracy of the prediction and adapt to the dynamic changes in the sun's position.

[0023] Furthermore, in this method, the current position information is obtained by using WIFI-assisted positioning technology, and the sun position information is further calculated in combination with the information, specifically including: The system starts the WIFI auxiliary positioning module to scan the WIFI signals in the surrounding environment. These signals include the signal strength (such as RSSI) sent by different access points (APs) and the address information of the APs.

[0024] Through the system SDK of smartphones or other mobile devices, the signal strength RSSI and AP address sent by surrounding APs can be obtained. These data will be used for subsequent positioning calculations.

[0025] Using the acquired WiFi signal strength, the triangulation positioning algorithm and fingerprint algorithm are applied to estimate the precise location of the device: by knowing the location of the AP and the signal attenuation model, the distance from the device to each AP is estimated, and the location is estimated accordingly.

[0026] Using the pre-established fingerprint database, the RSSI and AP address information obtained in real time are matched with the reference data in the database to determine the precise location of the device.

[0027] The calculated position information is sent to the control center together with the timestamp. The control center further calculates the sun's position information based on the received position information and other environmental parameters (light intensity obtained by multiple photoelectric sensors).

[0028] The control center uses data fusion technology, combined with WIFI positioning results and other sensor data, to optimize the calculation results of the sun's position information to improve the system's adjustment accuracy and response speed.

[0029] Furthermore, in this method, the control center calibrates the inclination angle of the target shutter array according to the acquired sun position information, specifically including: The control center receives the sun position information from the position information acquisition step, including the sun's azimuth and altitude.

[0030] The control center integrates other relevant environmental parameters: current time, date, geographic location, building orientation, etc. to improve the accuracy of angle calculation.

[0031] The control center uses the sun trajectory model and ray tracing algorithm to calculate the ideal tilt angle of the shutter array based on the sun position information and environmental parameters. Based on the calculation results, the control center calibrates the tilt angle of the target shutter array.

[0032] Taking into account the dynamic changes in the sun's position, the control center needs to update the sun's position information in real time by performing high-frequency calculations and adjustments and adjusting the tilt angle of the shutter array based on the latest information.

[0033] The control center sends the calibrated angle information to the actuator of the louver array: the motor control system, and the actuator adjusts the louver array to the target tilt angle based on the received angle information.

[0034] Furthermore, in the present method, an accelerometer is used to obtain the actual tilt angle of the current shutter array, specifically including: A three-axis accelerometer is installed on the shutter array, which can measure the acceleration changes in the X, Y, and Z directions and capture the three-dimensional posture changes of the shutter array in space.

[0035] The acceleration value measured by the accelerometer is relative to the acceleration of gravity. By measuring the acceleration components of the louver array in different axes, the inclination angle of the louver array can be calculated. For example, when the louver array tilts relative to the direction of gravity, the reading of the accelerometer in the corresponding axis will change.

[0036] According to the acceleration value measured by the accelerometer, the tilt angle of the shutter array is calculated using the trigonometric function relationship: the inverse sine function (arcsin) is used to calculate the tilt angle α.

[0037] Converts the acceleration values ​​measured by the accelerometer from gravity units (g) to angle units (degrees or radians).

[0038] When using an accelerometer for tilt angle detection, the sensitivity of the accelerometer will change as the tilt angle increases, especially when it is close to ±90°, the sensitivity will decrease. At this time, calibration and compensation measures are added to improve the measurement accuracy.

[0039] Furthermore, in this method, it is determined whether the system is in automatic mode. If the system is in automatic mode, the next step is entered; otherwise, the adjustment process is terminated, which specifically includes: The system first obtains the current mode status from the control center or user interface. Based on the obtained mode status, the system performs automatic mode judgment to check specific flags, read settings in the configuration file, and parse commands entered by the user.

[0040] If the system detects that the current mode is the automatic mode, it continues to perform subsequent adjustment steps.

[0041] If the system detects that the current mode is not the automatic mode, such as the manual mode or the off state, the system will end the current adjustment process, stop the ongoing adjustment action, save the current shutter array position state, and wait for further instructions from the user.

[0042] Furthermore, in this method, it is determined whether the system is in a fault mode. If the system is in a fault mode, the adjustment process ends; otherwise, the next step is entered, which specifically includes: The system identifies signs of faults through built-in fault detection mechanisms: monitoring the rationality of sensor readings, the response of actuators, etc.

[0043] When potential fault signs are detected, the system will collect relevant fault information, including the time, location, and possible causes of the fault.

[0044] The system executes the fault mode judgment logic based on the collected fault information: it involves analyzing the fault information and comparing it with the preset fault mode library to determine whether the current system is in a fault mode.

[0045] If the decision logic confirms that the system is in fault mode, the system will log the fault event and may trigger an alarm notification.

[0046] Once the system confirms that it is in fault mode, the current adjustment process will be terminated immediately to prevent the fault from causing greater impact.

[0047] Furthermore, in this method, it is determined whether the absolute value of the difference between the target angle and the current angle is greater than a set threshold. If it is greater than the threshold, the system meets the conditions for adjusting the blinds; otherwise, the adjustment process ends, specifically including: The system first obtains the actual tilt angle of the current louver array (through step S205 ) and the target tilt angle calculated according to step S204 .

[0048] The system calculates the difference between the target angle and the current angle, and takes the absolute value of the difference.

[0049] The system compares the calculated absolute value with the preset threshold. The threshold is a pre-set parameter used to determine when adjustment is required. The threshold setting can be adjusted according to the actual application scenario and user needs.

[0050] If the absolute value of the difference between the target angle and the current angle is greater than the set threshold, the system considers that the shutter array needs to be adjusted to reduce the angle deviation and achieve the target lighting condition.

[0051] If the adjustment conditions are met, the system will perform the adjustment operation and adjust the shutter array to the target angle by controlling the motor actuator.

[0052] If the absolute value of the difference between the target angle and the current angle is less than or equal to the set threshold, the system considers that the current angle is close enough to the target angle and no further adjustment is required, thus ending the adjustment process.

[0053] Furthermore, in this method, it is determined whether the system is in automatic mode. If the system is in automatic mode, the next step is entered; otherwise, the adjustment process is terminated, which specifically includes: The system generates an adjustment instruction according to the result of the adjustment condition judgment step (S208). When the absolute value of the difference between the target angle and the current angle is greater than a set threshold, an adjustment instruction is generated to indicate that the louver array needs to be adjusted to a new angle.

[0054] The system converts the adjustment instructions into motor control signals, PWM signals and servo motor control signals, and sends them to the motor driver connected to the shutter array.

[0055] After receiving the control signal, the motor driver drives the motor to rotate in the specified direction and speed. The rotation of the motor will drive the connected shutter array to adjust the angle.

[0056] The louver array adjusts its angle as the motor rotates. By precisely controlling the rotation of the motor, the angle of the louver array can be precisely adjusted.

[0057] During the adjustment process, the system monitors the angle changes of the shutter array in real time through an accelerometer or other angle sensors, and compares the actual angle with the target angle.

[0058] When the actual angle of the shutter array reaches or approaches the target angle, the system determines whether the difference between the actual angle and the target angle is within an acceptable error range.

[0059] Once the adjustment process is determined to be completed, the system will stop the motor and end the current adjustment step. At the same time, the system records the detailed information of the adjustment process: angles before and after adjustment, adjustment time, energy consumption, etc.

[0060] According to the embodiments of the present invention, preferably, the present invention adopts the above technical solution and has the following technical effects compared with the prior art: BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without creative work. In the drawings: Figure 1A block diagram of a method according to a first embodiment of the present invention is shown; Figure 2 A flow chart of a method according to a first embodiment of the present invention is shown. DETAILED DESCRIPTION

[0062] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further described below in conjunction with specific implementation methods. The following will describe the implementation methods of the present invention in detail in conjunction with the accompanying drawings and embodiments, so that the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly. It should be noted that as long as there is no conflict, the various embodiments of the present invention and the various features in the embodiments can be combined with each other, and the technical solutions formed are all within the protection scope of the present invention.

[0063] Block diagram of the method of embodiment 1: In order to solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention provides a method and system for intelligently adjusting adaptive blinds based on light intensity.

[0064] S101: Multiple photoelectric sensors detect the sun's position and light intensity, providing the system with real-time light data.

[0065] S102: Convert the analog signal collected by the photoelectric sensor into a digital signal so that the control center can process and analyze it.

[0066] S103: The control center receives data from the sensor, calculates the ideal shutter array angle according to a preset algorithm, and generates a control signal to send to the drive device.

[0067] S104: Receive a signal from the control center, drive the motor to rotate, and drive the shutter array to adjust to the target angle to achieve light adjustment.

[0068] S105: Adjust the angle according to the instruction of the control center.

[0069] S106: The system monitors the actual position and status of the shutter array through feedback signals.

[0070] S107: The system has fault detection and processing capabilities and can automatically switch to a safe mode or execute a predetermined fault handling procedure when a fault is detected.

[0071] Flow chart of the method of embodiment 1: In order to solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention provides a method and system for intelligently adjusting adaptive blinds based on light intensity.

[0072] S201: Use multiple photoelectric sensors to obtain the light intensity of the current environment.

[0073] S202: combining the light intensity obtained by the multi-channel photoelectric sensors, and predicting the position information of the sun through a sun position prediction algorithm.

[0074] S203: Using WIFI-assisted positioning technology to obtain current position information, and combining the information to further calculate sun position information.

[0075] S204: The control center calibrates the tilt angle of the target shutter array according to the acquired sun position information.

[0076] S205: Using the accelerometer to obtain the actual tilt angle of the current shutter array.

[0077] S206: Determine whether the system is in automatic mode. If the system is in automatic mode, proceed to the next step; otherwise, end the adjustment process.

[0078] S207: Determine whether the system is in a fault mode. If the system is in a fault mode, end the adjustment process; otherwise, proceed to the next step.

[0079] S208: Determine whether the absolute value of the difference between the target angle and the current angle is greater than a set threshold. If it is greater than the threshold, the system meets the conditions for adjusting the blinds; otherwise, the adjustment process ends.

[0080] S210: If the system meets the adjustment conditions, the angle of the blinds is adjusted by rotating the motor to optimize the indoor lighting environment.

[0081] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method and system for intelligently adjusting adaptive blinds based on light intensity, characterized in that: The following steps are involved: Use multiple photoelectric sensors to obtain the light intensity of the current environment. Combined with the light intensity obtained by multiple photoelectric sensors, the sun's position information is predicted through the sun position prediction algorithm. Use WIFI-assisted positioning technology to obtain the current position information, and combine this information to further calculate the sun's position information. The control center calibrates the tilt angle of the target shutter array based on the acquired sun position information. Use the accelerometer to obtain the actual tilt angle of the current shutter array. Determine whether the system is in automatic mode. If the system is in automatic mode, proceed to the next step; Otherwise, the adjustment process ends. Determine whether the system is in a fault mode. If the system is in a fault mode, the adjustment process ends; Otherwise, go to the next step. Determine whether the absolute value of the difference between the target angle and the current angle is greater than the set threshold. If it is greater than the threshold, the system meets the conditions for adjusting the blinds; otherwise, the adjustment process ends. If the system meets the adjustment conditions, the motor drives the blinds to adjust the angle to optimize the indoor lighting environment.

2. According to claim 1, a method and system for adaptive blinds intelligent adjustment based on light intensity, characterized in that: Use multiple photoelectric sensors to obtain the light intensity of the current environment, including: Multiple photoelectric sensors are arranged inside the building or near the blinds. These sensors detect the light intensity in different directions and areas, and the data obtained fully reflects the ambient light conditions. Each photoelectric sensor has the ability to convert optical signals into electrical signals. When the ambient light intensity changes, the sensor can capture these changes in real time and convert the optical signals into corresponding electrical signals for output. The electrical signals output by the photoelectric sensor will pass through the signal processing unit (analog-to-digital converter ADC) to convert the analog signals into digital signals. These digital signals will then be transmitted to the control center for further processing and analysis. Multi-channel sensors are used to synchronize the data collected by all sensors in time by setting a common clock signal between sensors or using timestamps. The data is filtered, averaged, and weighted to reduce the impact of noise and outliers, improve the accuracy and robustness of light intensity measurement, and the control center will fuse the data from different sensors. During the data collection process, if a sensor fails or the data is abnormal, the system will start the exception handling mechanism, automatically switch to the backup sensor, issue an alarm, or mark and exclude the abnormal data.

3. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: Combined with the light intensity obtained by multiple photoelectric sensors, the sun's position information is predicted through the sun position prediction algorithm, including: Multiple photoelectric sensors arranged at different locations collect the light intensity data of the current environment. Multi-sensor Fusion (MSF) technology is used to integrate and process data from different sensors. This process is similar to the process of comprehensive information processing by the human brain. Through multi-level and multi-space information complementation and optimized combination processing, a consistent interpretation of the observed environment is generated. The fused data is feature extracted and converted into a feature vector representing the observed data, so as to convert the feature vector into a judgment of the target attribute. The extracted feature vector is used in combination with the sun position prediction algorithm to predict the sun's position information. The system continuously adjusts the prediction model according to real-time data to improve the accuracy of the prediction and adapt to the dynamic changes in the sun's position.

4. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: Use WIFI-assisted positioning technology to obtain the current location information, and combine this information to further calculate the sun's position information, including: The system starts the WIFI auxiliary positioning module to scan the WIFI signals in the surrounding environment. These signals include the signal strength (such as RSSI) sent by different access points (APs) and the address information of the APs. Through the system SDK of smartphones or other mobile devices, the signal strength RSSI and AP addresses sent by the surrounding APs are obtained, and these data will be used for subsequent positioning calculations. Using the obtained WIFI signal strength, the triangulation positioning algorithm and fingerprint algorithm are applied to estimate the precise location of the device: the distance from the device to each AP is estimated by the known AP position and signal attenuation model, and the position is estimated accordingly. Using the fingerprint database established in advance, the RSSI and AP address information obtained in real time are matched with the reference data in the database to determine the precise location of the device. The calculated location information is sent to the control center together with the timestamp. The control center further calculates the position information of the sun based on the received location information and other environmental parameters (light intensity obtained by multiple photoelectric sensors). The control center uses data fusion technology, combined with WIFI positioning results and other sensor data, to optimize the calculation results of the sun's position information to improve the system's adjustment accuracy and response speed.

5. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: The control center calibrates the tilt angle of the target shutter array based on the acquired sun position information, including: The control center receives the sun position information from the position information acquisition step, including the sun's azimuth and altitude. The control center integrates other relevant environmental parameters: current time, date, geographic location, building orientation, etc. to improve the accuracy of angle calculation. The control center uses the sun trajectory model and ray tracing algorithm to calculate the ideal tilt angle of the louver array based on the sun position information and environmental parameters. Based on the calculation results, the control center calibrates the tilt angle of the target louver array. Considering the dynamic changes in the sun's position, the control center needs to update the sun's position information in real time, perform high-frequency calculations and adjustments, and adjust the tilt angle of the louver array according to the latest information. The control center sends the calibrated angle information to the actuator of the louver array: the motor control system, and the actuator adjusts the louver array to the target tilt angle based on the received angle information.

6. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: Use the accelerometer to obtain the actual tilt angle of the current shutter array, including: A three-axis accelerometer is installed on the louver array, which can measure the acceleration changes in the three directions of X, Y, and Z, and capture the three-dimensional posture changes of the louver array in space. The acceleration value measured by the accelerometer is relative to the gravity acceleration. By measuring the acceleration components of the louver array in different axes, the tilt angle of the louver array can be calculated. For example, when the louver array tilts relative to the direction of gravity, the reading of the accelerometer in the corresponding axis will change. According to the acceleration value measured by the accelerometer, the tilt angle of the louver array is calculated using the trigonometric function relationship: the inverse sine function (arcsin) is used to calculate the tilt angle α. The acceleration value measured by the accelerometer is converted from the gravity unit (g) to the angle unit (degree or radian). When using an accelerometer for tilt angle detection, the sensitivity of the accelerometer will change with the increase of the tilt angle, especially when it is close to ±90°, the sensitivity will decrease. At this time, calibration and compensation measures are added to improve the measurement accuracy.

7. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: Determine whether the system is in automatic mode. If the system is in automatic mode, proceed to the next step; Otherwise, the adjustment process ends, including: The system first obtains the current mode status from the control center or user interface. Based on the obtained mode status, the system performs automatic mode judgment to check specific flags, read the settings in the configuration file, and parse the commands entered by the user. If the system detects that the current mode is automatic mode, it continues to perform subsequent adjustment steps. If the system detects that the current mode is not automatic mode, such as manual mode or off state, the system will end the current adjustment process. Stop the ongoing adjustment action, save the current shutter array position status, and wait for further instructions from the user.

8. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: Determine whether the system is in a fault mode. If the system is in a fault mode, end the adjustment process; Otherwise, proceed to the next step, which includes: The system uses built-in fault detection mechanisms to identify whether there are signs of faults: monitoring the rationality of sensor readings, the response of actuators, etc. When potential signs of faults are detected, the system will collect relevant fault information, including the time, location, and possible causes of the fault. Based on the collected fault information, the system executes the fault mode judgment logic: it involves analyzing the fault information and comparing it with the preset fault mode library to determine whether the current system is in fault mode. If the judgment logic confirms that the system is in fault mode, the system will record the fault event and may trigger an alarm notification. Once the system confirms that it is in fault mode, it will immediately terminate the current adjustment process to prevent the fault from causing greater impact.

9. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: Determine whether the absolute value of the difference between the target angle and the current angle is greater than the set threshold. If it is greater than the threshold, the system meets the conditions for adjusting the blinds; Otherwise, the adjustment process ends, including: The system first obtains the actual tilt angle of the current louver array (through step S205) and the target tilt angle calculated according to step S204. The system calculates the difference between the target angle and the current angle, and the system takes the absolute value of the difference. The system compares the calculated absolute value with a preset threshold. The threshold is a pre-set parameter used to determine when adjustment is required, and the setting of the threshold can be adjusted according to the actual application scenario and user needs. If the absolute value of the difference between the target angle and the current angle is greater than the set threshold, the system considers that the louver array needs to be adjusted to reduce the angle deviation and achieve the target lighting condition. If the adjustment condition is met, the system will perform the adjustment operation and adjust the louver array to the target angle by controlling the motor actuator. If the absolute value of the difference between the target angle and the current angle is less than or equal to the set threshold, the system considers that the current angle is close enough to the target angle and no further adjustment is required, so the adjustment process ends.

10. The method and system for adaptive blinds intelligent adjustment based on light intensity according to claim 1, characterized in that: Determine whether the system is in automatic mode. If the system is in automatic mode, proceed to the next step; Otherwise, the adjustment process ends, including: The system generates an adjustment instruction according to the result of the adjustment condition judgment step (S208). When the absolute value of the difference between the target angle and the current angle is greater than the set threshold, an adjustment instruction is generated to indicate that the louver array needs to be adjusted to a new angle. The system converts the adjustment instruction into a motor control signal, a PWM signal and a servo motor control signal, and sends it to the motor driver connected to the louver array. After receiving the control signal, the motor driver drives the motor to rotate in the specified direction and speed, and the rotation of the motor will drive the connected louver array to adjust the angle. The louver array adjusts the angle as the motor rotates, and the precise adjustment of the louver array angle is achieved by precisely controlling the rotation of the motor. During the adjustment process, the system monitors the angle change of the louver array in real time through an accelerometer or other angle sensor, and compares the actual angle with the target angle. When the actual angle of the louver array reaches or approaches the target angle, the system determines whether the difference between the actual angle and the target angle is within an acceptable error range. Once it is determined that the adjustment process is completed, the system stops the motor from rotating and ends the current adjustment step. At the same time, the system records detailed information about the adjustment process: angles before and after adjustment, adjustment time, energy consumption, etc.

Images